A Comprehensive Review on Motion Planning of Bi-differential Wheeled Robots in Cluttered Environment Using Various Artificial Intelligent Techniques

8 Pages Posted: 19 Oct 2020

See all articles by Animesh Chhotray

Animesh Chhotray

Gandhi Institute for Education & Technology

Dayal R. Parhi

National Institute of Technolgy,Rourkela

PriyadarshiBiplab Kumar

National Institute of Technolgy,Rourkela

Pritinika Behera

Gandhi Institute for Education & Technology (GIET)

Date Written: October 18, 2020

Abstract

Robotic Mobility in dynamic environments has gained popularity among many researchers over past few years. The environment where human beings perform their normal operations includes narrow spaces, sharp turns, slopes and steps. In addition, some times the field of operation may be found to be chemically hazardous, radioactive or reconnaissance in nature. It is not quite easy to develop intelligent robots with very precise mechanism suitable for specific navigational purposes. The balancing on two wheels and spin on the spot ability with smaller footprints of the bi-differential wheeled mobile robots distinguish them from other multi-wheel counterparts. In this paper some of the basic literatures regarding the motion planning of mobile robots are discussed using different artificial intelligence techniques. The robots can able to reach a respective goal positions by successfully avoiding the intermediate collisions among themselves and with the obstacles using these techniques as control scheme.

Keywords: Robotic Mobility, Motion Planning, Bi-differential Wheeled Robots, Artificial Intelligence Techniques, obstacle avoidance.

Suggested Citation

Chhotray, Animesh and Parhi, Dayal R. and Kumar, PriyadarshiBiplab and Behera, Pritinika, A Comprehensive Review on Motion Planning of Bi-differential Wheeled Robots in Cluttered Environment Using Various Artificial Intelligent Techniques (October 18, 2020). International Conference on Artificial Intelligence in Manufacturing & Renewable Energy (ICAIMRE) 2019, Available at SSRN: https://ssrn.com/abstract=3714168 or http://dx.doi.org/10.2139/ssrn.3714168

Animesh Chhotray (Contact Author)

Gandhi Institute for Education & Technology ( email )

Baniatangi
Bhubaneswar, Khurda, Odisha 752060
India
752060 (Fax)

Dayal R. Parhi

National Institute of Technolgy,Rourkela ( email )

NIT
Rourkela
Rourkela, OR 769008
India

PriyadarshiBiplab Kumar

National Institute of Technolgy,Rourkela ( email )

NIT
Rourkela
Rourkela, OR 769008
India

Pritinika Behera

Gandhi Institute for Education & Technology (GIET) ( email )

Baniatangi
Bhubaneswar, Khurda, Odisha 752060
India

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